%0 Conference Paper %1 Wang:2019:MSE:3290605.3300258 %A Wang, Shang %A Sonmez Unal, Deniz %A Walker, Erin %B Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems %C New York, NY, USA %D 2019 %I ACM %K concept-map electronic-textbook %P 28:1--28:14 %R 10.1145/3290605.3300258 %T MindDot: Supporting Effective Cognitive Behaviors in Concept Map-Based Learning Environments %U http://doi.acm.org/10.1145/3290605.3300258 %X While prior research has revealed the promising impact of concept mapping on learning, few have comprehensively modeled different cognitive behaviors during concept mapping. In addition, existing concept mapping tools lack effective feedback to support better learning behaviors. This work presents MindDot, a concept map-based learning environment that facilitates the cognitive process of comparing and integrating related concepts via two forms of support. A hyperlink support and an expert template. Study results suggested that both types of support had positive impact on the development of comparative strategies and that hyperlink support enhanced learning. We further evaluated the cognitive learning progress at a fine-grained level with two forms of visualizations. We then extracted several behavioral patterns that provided insights about the cognitive progress in learning. Lastly, we derive design recommendations that we hope will inspire future intelligent tutoring systems that automatically evaluate students' learning behaviors and foster them in developing effective learning behaviors %@ 978-1-4503-5970-2

@inproceedings{Wang:2019:MSE:3290605.3300258, abstract = {While prior research has revealed the promising impact of concept mapping on learning, few have comprehensively modeled different cognitive behaviors during concept mapping. In addition, existing concept mapping tools lack effective feedback to support better learning behaviors. This work presents MindDot, a concept map-based learning environment that facilitates the cognitive process of comparing and integrating related concepts via two forms of support. A hyperlink support and an expert template. Study results suggested that both types of support had positive impact on the development of comparative strategies and that hyperlink support enhanced learning. We further evaluated the cognitive learning progress at a fine-grained level with two forms of visualizations. We then extracted several behavioral patterns that provided insights about the cognitive progress in learning. Lastly, we derive design recommendations that we hope will inspire future intelligent tutoring systems that automatically evaluate students' learning behaviors and foster them in developing effective learning behaviors}, acmid = {3300258}, added-at = {2019-09-27T18:43:12.000+0200}, address = {New York, NY, USA}, articleno = {28}, author = {Wang, Shang and Sonmez Unal, Deniz and Walker, Erin}, biburl = {https://www.bibsonomy.org/bibtex/2ae567ab845ea1c18640ea67d1e8a3c99/brusilovsky}, booktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems}, description = {MindDot}, doi = {10.1145/3290605.3300258}, interhash = {05cfdec5627bf435e6ae0a340443a8ea}, intrahash = {ae567ab845ea1c18640ea67d1e8a3c99}, isbn = {978-1-4503-5970-2}, keywords = {concept-map electronic-textbook}, location = {Glasgow, Scotland Uk}, numpages = {14}, pages = {28:1--28:14}, publisher = {ACM}, series = {CHI '19}, timestamp = {2019-09-27T18:43:12.000+0200}, title = {MindDot: Supporting Effective Cognitive Behaviors in Concept Map-Based Learning Environments}, url = {http://doi.acm.org/10.1145/3290605.3300258}, year = 2019 }